Using Kinect™ sensor in observational methods for assessing postures at workJosé Antonio Diego-Más, Jorge Alcaide-Marzal2013-12-23articleApplied Ergonomics179 citationsgreenNo readable copy stored yet — this record is metadata only.Ergonomics and Musculoskeletal DisordersHuman Pose and Action RecognitionOccupational Health and Safety ManagementAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 179 citations exist upstream.References1993RULA: a survey method for the investigation of work-related upper limb disorders2000Rapid Entire Body Assessment (REBA)1977Correcting working postures in industry: A practical method for analysis1999Current techniques for assessing physical exposure to work-related musculoskeletal risks, with emphasis on posture-based methods1994Assessment of physical work load in epidemiologic studies: concepts, issues and operational considerations2011Evaluation of the Kinect™ sensor for 3-D kinematic measurement in the workplace1996PATH: A work sampling-based approach to ergonomic job analysis for construction and other non-repetitive work2001Comparison of self-report, video observation and direct measurement methods for upper extremity musculoskeletal disorder physical risk factorsCited by2015The validity of the first and second generation Microsoft Kinect™ for identifying joint center locations during static postures2020A novel vision-based real-time method for evaluating postural risk factors associated with musculoskeletal disorders2015Pose Estimation with a Kinect for Ergonomic Studies: Evaluation of the Accuracy Using a Virtual Mannequin2017Postural optimization for an ergonomic human-robot interaction2018Sentiment analysis in organizational work: Towards an ontology of people analytics